Guide To Image Color Analyzer In Python

In the modern age, we store all image data in digital memory. This can be your computer or your mobile device, or your cloud space. Whenever a device stores an image, it keeps it by breaking it into a very small mosaic or pixel form or simply saying that the computer breaks it into tiny box parts before storing any image. These small box parts can be considered as the pixel of the images. Therefore, as the size of tiles increases, the resolution of the image decreases, and the fineness of the tiles increases the resolution of the images.  The simplest way to explain the pixels is that they consist of Red, Green, and Blue. Pixels are the smallest unit of information about any image, which are arranged in the 2-dimensional grid. If any of those three colours of any pixel is at full intensity, we can consider it is having a pixel value of 255. A pixel value can change between 0-255; if an image is fully red, then the RGB value is (255,0,0), where red is denoted by 255 and green